activity
20182020
most citedA Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2020★ 1 cited

Efficient Receive Beamformers for Secure Spatial Modulation against a Malicious Full-duplex Attacker with Eavesdropping Ability

Xinyi Jiang, Xiaoyu Liu, Riqing Chen +3

In this paper, we consider a new secure spatial modulation scenario with a full-duplex (FD) malicious attacker Mallory owning eavesdropping capacity, where Mallory works on FD mode…

eess.SP2020★ 1 cited

Precoding and Transmit Antenna Subarray Selection for Secure Hybrid Spatial Modulation

Feng Shu, Xiaoyu Liu, Xinyi Jiang +3

Spatial modulation (SM) is a particularly important form of multiple-input-multiple-output (MIMO). Unlike traditional MIMO, it uses both modulation symbols and antenna indices to c…

eess.SP2019★ 2 cited

A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver

Feng Shu, Lin Liu, Yumeng Zhang +5

As a green and secure wireless transmission way, secure spatial modulation (SM) is becoming a hot research area. Its basic idea is to exploit both the index of activated transmit a…

eess.SP2018

Covert Communication with A Full-Duplex Receiver Based on Channel Distribution Information

Tingzhen Xu, Ling Xu, Xiaoyu Liu +1

In this work, we consider a system of covert communication with the aid of a full-duplex (FD) receiver to enhance the performance in a more realistic scenario, i.e., only the chann…

eess.SP2018

High-performance Power Allocation Strategies for Secure Spatial Modulation

Feng Shu, Xiaoyu Liu, Guiyang Xia +3

Optimal power allocation (PA) strategies can make a significant rate improvement in secure spatial modulation (SM). Due to the lack of secrecy rate (SR) closed-form expression in s…